70% lower cost vs AWS & GCP
Unlimited Egress
Per second billing
SOC2 Compliant

Researchers using AWS hit the same wall. Egress fees compound every time data moves. Shared academic HPC clusters queue jobs for days. Credits run out faster than expected.
Huddle01 Cloud is cloud platform for researchers who need serious compute. Dedicated AMD EPYC vCPUs. NVMe-backed block storage. Managed Kubernetes for cloud native containerised pipelines. Low latency cloud networking across Asia, Europe, and North America. No noisy-neighbour risk. No per-GB egress charges eating your grant.
Your compute budget goes on the work. Not overhead.

HPC Workloads and Simulation Jobs
Services: Virtual Machines · Managed Kubernetes
Services: Virtual Machines · Managed Docker
Services: Managed Kubernetes · Virtual Machines
Services: Block Storage · Virtual Machines
Collaborative Research Platforms and Web Tools
Services: Load Balancer · Virtual Machines · Managed Docker
For Data Science & Reproducible Environments
Services: Managed Docker · Virtual Machines


What is high performance compute and how does Huddle01 support it?
How does Huddle01 Cloud compare to AWS for researchers?
Why do researchers use IaaS instead of shared HPC clusters?
Can I run AI inference and machine learning pipelines on Huddle01?
What is high throughput screening and how does Huddle01 support it?
How does block storage work for research data?
Can Huddle01 invoices be used for grant reporting?
Can we migrate from AWS or an existing HPC cluster to Huddle01?













